Alexander Löser

Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model

Purpose: To develop and evaluate an open-weight large language model (LLM) pipeline that converts an entire archive of free-text radiology reports into structured reports without human oversight. Materials and Methods: In this retrospective study, a pipeline with 150 hierarchically organized templates was developed at...

DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation

Sparse ProtoPatient: Interactive Multi-Prototype Explanations for Clinical Diagnosis Prediction

The Sparse ProtoPatient Demo provides a reproducible platform for interactive inspection of prototype-based clinical reasoning, enabling complementary opinion exploration, model auditing, and teaching of interpretable diagnosis prediction.